{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "vulnerable system version", "patch number", "vulnerability", "vulnerable system", "issues addressed", "time", "releaser"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "time", "vulnerable system owner", "vulnerable system", "vulnerable system version", "discoverer", "vulnerability", "capabilities"]}, {"event_type": "data breach", "trigger": true, "arguments": ["compromised data", "tool", "place", "attack pattern", "time", "number of data", "victim", "purpose"]}, {"event_type": "ransom", "trigger": true, "arguments": ["payment method", "time", "damage amount", "attacker", "place", "attack pattern", "price", "victim", "tool"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "attack pattern", "attacker"]}], "input": "The scammers are using one of the most common tools in their arsenal : phishing attacks ."}
{"patch vulnerability": [], "discover vulnerability": [], "data breach": [], "ransom": [], "phishing": [{"trigger": "phishing attacks", "arguments": {"trusted entity": "NAN", "attack pattern": "NAN", "attacker": "The scammers"}}]}